github.com/sarthakTUM/roofn3d
sarthakTUM/roofn3d
Roof Classification, Segmentation, and Damage Completion using 3D Point Clouds (⭐ 70)
arxiv.org/abs/2008.04874v1
Classification of Radio Signals Using Truncated Gaussian Discriminant Analysis o…
To improve the utility and scalability of distributed radio frequency (RF) sensor and communication networks, reduce the need for convolutional neural network (CNN) retraining, and efficiently share learned information about signals, we examined a su...
arxiv.org/abs/2402.03847v1
Non-Hemolytic Peptide Classification Using A Quantum Support Vector Machine
Quantum machine learning (QML) is one of the most promising applications of quantum computation. However, it is still unclear whether quantum advantages exist when the data is of a classical nature and the search for practical, real-world application...
arxiv.org/abs/1703.06111v2
A complete classification of which $(n,k)$-star graphs are Cayley graphs
The $(n,k)$-star graphs are an important class of interconnection networks that generalize star graphs, which are superior to hypercubes. In this paper, we continue the work begun by Cheng et al.~(Graphs and Combinatorics 2017) and complete the class...
arxiv.org/abs/1809.07945v1
SCC: Automatic Classification of Code Snippets
Determining the programming language of a source code file has been considered in the research community; it has been shown that Machine Learning (ML) and Natural Language Processing (NLP) algorithms can be effective in identifying the programming la...
arxiv.org/abs/2107.12226v1
DYPLODOC: Dynamic Plots for Document Classification
Narrative generation and analysis are still on the fringe of modern natural language processing yet are crucial in a variety of applications. This paper proposes a feature extraction method for plot dynamics. We present a dataset that consists of the...
en.wikipedia.org/wiki/The_Year_I_Started_Masturbating
The Year I Started Masturbating - Wikipedia
Year I Started Masturbating". British Board of Film Classification. Sharma, Anjali (May 26, 2023). "'The Year I Started Masturbating' Netflix Movie Review
arxiv.org/abs/2106.12969v1
Approximability of (Simultaneous) Class Cover for Boxes
Bereg et al. (2012) introduced the Boxes Class Cover problem, which has its roots in classification and clustering applications: Given a set of n points in the plane, each colored red or blue, find the smallest cardinality set of axis-aligned boxes w...
arxiv.org/abs/1911.01544v3
The generalization error of max-margin linear classifiers: Benign overfitting an…
Modern machine learning classifiers often exhibit vanishing classification error on the training set. They achieve this by learning nonlinear representations of the inputs that maps the data into linearly separable classes. Motivated by these pheno...
arxiv.org/abs/2406.01455v3
Automatic Fused Multimodal Deep Learning for Plant Identification
Plant classification is vital for ecological conservation and agricultural productivity, enhancing our understanding of plant growth dynamics and aiding species preservation. The advent of deep learning (DL) techniques has revolutionized this field b...
arxiv.org/abs/1709.09496v2
Drought Stress Classification using 3D Plant Models
Quantification of physiological changes in plants can capture different drought mechanisms and assist in selection of tolerant varieties in a high throughput manner. In this context, an accurate 3D model of plant canopy provides a reliable representa...
arxiv.org/abs/2312.08659v1
On the Image-Based Detection of Tomato and Corn leaves Diseases : An in-depth co…
The research introduces a novel plant disease detection model based on Convolutional Neural Networks (CNN) for plant image classification, marking a significant contribution to image categorization. The innovative training approach enables a streamli...
arxiv.org/abs/1609.06908v1
Nice Restrictions of Reflection Arrangements
In a recent paper, Hoge and the second author classified all nice and all inductively factored reflection arrangements. In this note we extend this classification by determining all nice and all inductively factored restrictions of reflection arrange...
arxiv.org/abs/2409.04683v2
C2F-CHART: A Curriculum Learning Approach to Chart Classification
In scientific research, charts are usually the primary method for visually representing data. However, the accessibility of charts remains a significant concern. In an effort to improve chart understanding pipelines, we focus on optimizing the chart...
arxiv.org/abs/2508.09555v1
Topological Invariant-Based Iris Identification via Digital Homology and Machine…
Objective - This study presents a biometric identification method based on topological invariants from 2D iris images, representing iris texture via formally defined digital homology and evaluating classification performance. Methods - Each normali...
arxiv.org/abs/2403.19983v1
A multi-stage semi-supervised learning for ankle fracture classification on CT i…
Because of the complicated mechanism of ankle injury, it is very difficult to diagnose ankle fracture in clinic. In order to simplify the process of fracture diagnosis, an automatic diagnosis model of ankle fracture was proposed. Firstly, a tibia-fib...
arxiv.org/abs/2507.23418v1
Detection of Adulteration in Coconut Milk using Infrared Spectroscopy and Machin…
In this paper, we propose a system for detecting adulteration in coconut milk, utilizing infrared spectroscopy. The machine learning-based proposed system comprises three phases: preprocessing, feature extraction, and classification. The first phase...
arxiv.org/abs/2205.13922v1
CREAM: Weakly Supervised Object Localization via Class RE-Activation Mapping
Weakly Supervised Object Localization (WSOL) aims to localize objects with image-level supervision. Existing works mainly rely on Class Activation Mapping (CAM) derived from a classification model. However, CAM-based methods usually focus on the most...
arxiv.org/abs/2601.17091v1
CUROCKET: Optimizing ROCKET for GPU
ROCKET (RandOm Convolutional KErnel Transform) is a feature extraction algorithm created for Time Series Classification (TSC), published in 2019. It applies convolution with randomly generated kernels on a time series, producing features that can be...
arxiv.org/abs/2508.04927v1
Engineering Topological Materials
The tenfold classification provides a powerful framework for organizing topological phases of matter based on symmetry and spatial dimension. However, it does not offer a systematic method for transitioning between classes or engineering materials to...